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CDA Workshop Physical & Numerical Hydraulic Modelling STAR-CCM+ Presentation CFD ENGINEERING FEA SIMULATION Mission Increase the competitiveness of companies through optimization of their product development using engineering


  1. CDA Workshop Physical & Numerical Hydraulic Modelling STAR-CCM+ Presentation

  2. CFD ENGINEERING FEA SIMULATION

  3. Mission Increase the competitiveness of companies through optimization of their product development using engineering simulation.

  4. Lx Sim Services – Engineering Simulation Outsourcing – CAE-Intensive Product Design – Training 4

  5. Softwares • CFD • Optimization/DOE – STAR-CCM+ • OptiStruct – AcuSolve • HyperStudy • FEA • Process – HyperMesh/RADIOSS • HyperForm – HyperCrash • HyperXtrude – DesignLife • Moldex 3D • MBD • Post-Processing – MotionSolve • FieldView (CFD) 5

  6. Sample Projects • DFBI - CFD • Trim and Drag Prediction on Ship Hull 6

  7. Sample Projects • Non-Linear FEA • Prediction of Plastic Deformations on Frame 7

  8. Sample Projects • Heat Transfer / Solar Radiation / Porous Baffle – CFD Automation of Solar Air Heater CFD • 8

  9. Outline • STAR-CCM+ Overview and Capabilities • Modeling and simulation procedure • Limitations and known problems • Case Study • Questions 9

  10. STAR-CCM+ Overview & Capabilities • CD-adapco is the largest privately owned CFD company • STAR-CCM+ GUI is java based, code is C++ – Very flexible – Customization possible – Java macro system • Finite volume method 10

  11. STAR-CCM+ Overview & Capabilities • General purpose CFD – Multi-Physics • CAD package • Multiple meshing approaches • Included post-processing • Optimization 11

  12. Complete Solution from CAD to Post 12

  13. GUI Presentation • Tree-based management • Graphical window • Output • Properties 13

  14. Tree-Based Management 14

  15. CAD Preparation 3D-CAD • – Creating or modifying geometries – Similar to any sketch based package – Somewhat limited – Exposing design variables Operation History • – Boolean – Meshes – Adds repeatability 15

  16. Wrapper and Surface Repair Before After 16

  17. Meshers Trimmed cell • Polyhedral • – Embedded thin Tetrahedral • Prism • Thin mesher • Refinement • – Volume – Surfaces – Edges 17

  18. Physics – Electrochemistry – Multiphase – Electromagnetism • Lagrangian – Overset meshes • Eulerian – Radiation • VOF – Aeroacoustics • DEM – Batteries – Conjugated heat transfer – Casting – Shell modeling – DFBI – Chemistry – FSI • Combustion • Solid stress • DARS • Direct coupling – Optimization solver – Adjoint solver 18

  19. DAM Related Models • VOF for multiphase - Cavitation - Particle transport and interaction DEM - Erosion model • Moving parts, rotation, translation • Multiple meshes approach 19

  20. Cons • No aeration by default or custom - Surface data not accessible during calculations • Babysitting necessary – Tweaking of interface solvers – Mesh dependency - Large mesh - Long transient analysis 20

  21. Case Study – Modelling Method 21

  22. Geometry Preparation • Create top boundaries • Operations to split in 3 regions – Inlet – Spillway – Outlet 22

  23. Meshing • Trimmed cells – Known surface – Fast • Mesh alignment • Y+ between 10 and 150 targeted • Refinement for interface • Final mesh: – Convergence not fully obtained – Constraint in time and CPUs • Use of relative to base size values 23

  24. Mesh - 0.52Hd - 2.7M Base size at 15m • Medium transition in • volume Surface • 0.375m in inlet and • outlet regions 0.15 m in spillway • 24

  25. Mesh - 0.52Hd - 4.4 M Base size at 15m • Medium transition in • volume Surface • 0.375m in inlet and • outlet regions 0.15 m in spillway • 25

  26. Physics Model • VOF multiphase • Turbulent – All y+ treatment • Transient analysis • Use of VOF wave to specify reservoir levels and inlets 26

  27. Initial Conditions 27

  28. Boundary Conditions Pressure VOFWave 28

  29. Solver Set-Up and Convergence Multiple mesh approach to save computation time • Time step 0.01s to 0.05s • – Settings available to increase accuracy for C >1 – Stability issue 5 iterations per time step • Presence of oscillations in solution flow rate • – Potential mesh vs timestep problem – Choice made for time constraints vs accuracy 29

  30. Case Study 1.5 X Design Head • Q = 601 m 3 /s • Maximum elevation at 224.2 m 30

  31. Velocity 31

  32. Velocity 32

  33. Relative Pressure 33

  34. Relative Pressure 34

  35. Froude Number 35

  36. Turbulent Kinetic Energy Generating Air Entrainment 36

  37. Air Entrainment at Surface Only • Creation of field functions to find location air entrainment • Exportation of the approximate surface • Importation of the surface as a fluid region • Interpolate functions on it • Calculate aeration • Attempted transport without success 37

  38. Air Entrainment at Surface Only 38

  39. Case Study 0.52 X Design Head • Q = 115 m 3 /s 39

  40. Velocity 40

  41. Velocity 41

  42. Relative Pressure 42

  43. Relative Pressure 43

  44. Froude Number 44

  45. Turbulent Kinetic Energy Generating Air Entrainment 45

  46. Air Entrainment at Surface Only 46

  47. Questions?

  48. Wrong BC??

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